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. 2020 Mar;8(6):282. doi: 10.21037/atm.2020.03.30

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2020 Annals of Translational Medicine. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

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Differentially expressed genes (DEGs) identification by bioinformatics analysis. (A) Volcano plot of DEGs in GSE23558. (B) Volcano plot of DEGs in GSE30784. (C) Volcano plot of DEGs in GSE31056. Red, blue and gray color indicates relatively high, low and equal expression of genes, respectively. P<0.01 and |log(FC)| >1.5 were set as the threshold. (D) Overlapping DEGs commonly screened out from three GEO datasets.